Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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116,101 to 116,160 of 117,516

QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM
Lachlan Nicholson, Michael Milford, Niko Sünderhauf
cs.ROarXiv:1804.04011v32018
LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
Yixun Liang, Xin Yang, Jiantao Lin +3
cs.CVcs.GRcs.MMarXiv:2311.11284v32023
Unfolding the Alternating Optimization for Blind Super Resolution
Zhengxiong Luo, Yan Huang, Shang Li +2
cs.CVarXiv:2010.02631v42020
Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne, Erich Elsen, Jialin Song +6
cs.SDcs.LGeess.ASarXiv:1710.11153v22017
Learning to see through multimode fibers
Navid Borhani, Eirini Kakkava, Christophe Moser +1
physics.opticsarXiv:1805.05614v12018
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
Shreya Shankar, Yoni Halpern, Eric Breck +3
stat.MLarXiv:1711.08536v12017
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
Johanna Wald, Helisa Dhamo, Nassir Navab +1
cs.CVarXiv:2004.03967v12020
Physics-Informed Neural Networks for Power Systems
George S. Misyris, Andreas Venzke, Spyros Chatzivasileiadis
eess.SYcs.LGeess.SParXiv:1911.03737v32019
Using Fast Weights to Attend to the Recent Past
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih +2
stat.MLcs.LGcs.NEarXiv:1610.06258v32016
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei, Kihyuk Sohn, Clayton Mellina +2
cs.CVarXiv:2102.09559v22021
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Kang Chen, Tao Han, Junchao Gong +11
cs.AIcs.LGphysics.ao-pharXiv:2304.02948v12023
Learning Video Object Segmentation with Visual Memory
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
cs.CVarXiv:1704.05737v22017
Measuring short-form factuality in large language models
Jason Wei, Nguyen Karina, Hyung Won Chung +5
cs.CLarXiv:2411.04368v12024
Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations
Josh A. Goldstein, Girish Sastry, Micah Musser +3
cs.CYarXiv:2301.04246v12023
Provably-Secure and High-Rate Quantum Key Distribution with Time-Bin Qudits
Nurul T. Islam, Charles Ci Wen Lim, Clinton Cahall +2
quant-pharXiv:1709.06135v12017
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu, Ziyu Wang, Josh Merel +8
cs.ROcs.AIcs.LGarXiv:1802.09564v22018
Analyzing the Behavior of Visual Question Answering Models
Aishwarya Agrawal, Dhruv Batra, Devi Parikh
cs.CLcs.AIcs.CVarXiv:1606.07356v22016
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration
Hao Yu, Fu Li, Mahdi Saleh +2
cs.CVcs.AIarXiv:2110.14076v12021
The 2015 super-resolution microscopy roadmap
Stefan Hell, Steffen Sahl, Mark Bates +25
physics.bio-pharXiv:1711.04999v12017
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation
Yu Chen, Chunhua Shen, Xiu-Shen Wei +2
cs.CVarXiv:1705.00389v22017
Computational models for active matter
M Reza Shaebani, Adam Wysocki, Roland G Winkler +2
cond-mat.softphysics.bio-phphysics.comp-pharXiv:1910.02528v22019
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
Maryam Zare, Parham M. Kebria, Abbas Khosravi +1
cs.LGcs.AIcs.ROarXiv:2309.02473v12023
Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models
Haoran Wang, Xiongxiao Xu, Philip S. Yu +1
cs.CLarXiv:2608.14797v12026
The inconsistency of the h-index
Ludo Waltman, Nees Jan van Eck
cs.DLphysics.soc-pharXiv:1108.3901v12011
Transfer Learning based Dynamic Multiobjective Optimization Algorithms
Min Jiang, Zhongqiang Huang, Liming Qiu +2
cs.NEarXiv:1612.06093v22016
Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions
Emil Björnson, Özgecan Özdogan, Erik G. Larsson
cs.ITeess.SParXiv:2006.03377v22020
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To +11
cs.CVarXiv:1810.13230v22018
Deep Watershed Transform for Instance Segmentation
Min Bai, Raquel Urtasun
cs.CVarXiv:1611.08303v22016
Will ChatGPT get you caught? Rethinking of Plagiarism Detection
Mohammad Khalil, Erkan Er
cs.AIarXiv:2302.04335v12023
Deep Session Interest Network for Click-Through Rate Prediction
Yufei Feng, Fuyu Lv, Weichen Shen +4
cs.IRarXiv:1905.06482v12019
PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents
Weixiong Lin, Ziheng Zhao, Xiaoman Zhang +4
cs.CVcs.CLcs.LGarXiv:2303.07240v12023
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Qi Ming, Zhiqiang Zhou, Lingjuan Miao +2
cs.CVarXiv:2012.04150v22020
Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation
Beibei Lin, Shunli Zhang, Xin Yu
cs.CVarXiv:2011.01461v22020
Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks
Leonardo Bonati, Salvatore D'Oro, Michele Polese +2
cs.NIcs.LGarXiv:2012.01263v22020
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
Yuhua Chen, Feng Shi, Anthony G. Christodoulou +3
cs.CVeess.IVarXiv:1803.01417v32018
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Shiqing Fan, Yi Rong, Chen Meng +10
cs.DCarXiv:2007.01045v12020
The Road to 6G: Ten Physical Layer Challenges for Communications Engineers
Michail Matthaiou, Okan Yurduseven, Hien Quoc Ngo +3
eess.SPcs.ITarXiv:2004.07130v22020
German's Next Language Model
Branden Chan, Stefan Schweter, Timo Möller
cs.CLcs.LGarXiv:2010.10906v42020
Distributed Quantum Computing: a Survey
Marcello Caleffi, Michele Amoretti, Davide Ferrari +4
quant-phcs.NIarXiv:2212.10609v12022
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval
Ding Jiang, Mang Ye
cs.CVarXiv:2303.12501v12023
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
Siddharth Samsi, Dan Zhao, Joseph McDonald +7
cs.CLcs.DCarXiv:2310.03003v12023
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation
Simon Axelrod, Rafael Gomez-Bombarelli
physics.comp-phcs.LGarXiv:2006.05531v42020
MobileOne: An Improved One millisecond Mobile Backbone
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu +2
cs.CVarXiv:2206.04040v22022
Automatic tagging using deep convolutional neural networks
Keunwoo Choi, George Fazekas, Mark Sandler
cs.SDcs.LGarXiv:1606.00298v12016
RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer
Wenyu Lv, Yian Zhao, Qinyao Chang +3
cs.CVarXiv:2407.17140v12024
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Yicheng Wu, Minfeng Xu, Zongyuan Ge +2
cs.CVarXiv:2103.02911v22021
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Jingjing Chen, Qirong Mao, Dong Liu
eess.AScs.SDarXiv:2007.13975v32020
Multimodal Speech Emotion Recognition Using Audio and Text
Seunghyun Yoon, Seokhyun Byun, Kyomin Jung
cs.CLarXiv:1810.04635v12018
SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules
Esben Jannik Bjerrum
cs.LGarXiv:1703.07076v22017
Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan, Yurong You, Ziyan Wang +1
cs.AIcs.CVarXiv:1704.03952v42017
Atlas: End-to-End 3D Scene Reconstruction from Posed Images
Zak Murez, Tarrence van As, James Bartolozzi +3
cs.CVarXiv:2003.10432v32020
AutoFormer: Searching Transformers for Visual Recognition
Minghao Chen, Houwen Peng, Jianlong Fu +1
cs.CVarXiv:2107.00651v12021
Pushing the Boundaries of View Extrapolation with Multiplane Images
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron +3
cs.CVarXiv:1905.00413v12019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Xiaolong Jiang, Zehao Xiao, Baochang Zhang +4
cs.CVarXiv:1903.00853v22019
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
cs.CLcs.LGarXiv:1703.06345v12017
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
Poomipat Boonyakitanont, Apiwat Lek-uthai, Krisnachai Chomtho +1
eess.SParXiv:1908.00492v12019
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Nguyen, Jason Yosinski, Jeff Clune
cs.NEcs.CVarXiv:1602.03616v22016
Better Mixing via Deep Representations
Yoshua Bengio, Grégoire Mesnil, Yann Dauphin +1
cs.LGarXiv:1207.4404v12012
Safe Reinforcement Learning Using Robust MPC
Mario Zanon, Sébastien Gros
eess.SYarXiv:1906.04005v22019
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Bojan Kolosnjaji, Ambra Demontis, Battista Biggio +4
cs.CRarXiv:1803.04173v12018

Every paper with a summary

QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM

LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching

Unfolding the Alternating Optimization for Blind Super Resolution

Onsets and Frames: Dual-Objective Piano Transcription

Learning to see through multimode fibers

No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World

Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions

Physics-Informed Neural Networks for Power Systems

Using Fast Weights to Attend to the Recent Past

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead

Learning Video Object Segmentation with Visual Memory

Measuring short-form factuality in large language models

Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

Provably-Secure and High-Rate Quantum Key Distribution with Time-Bin Qudits

Reinforcement and Imitation Learning for Diverse Visuomotor Skills

Analyzing the Behavior of Visual Question Answering Models

CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration

The 2015 super-resolution microscopy roadmap

Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation

Computational models for active matter

A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges

Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models

The inconsistency of the h-index

Transfer Learning based Dynamic Multiobjective Optimization Algorithms

Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Deep Watershed Transform for Instance Segmentation

Will ChatGPT get you caught? Rethinking of Plagiarism Detection

Deep Session Interest Network for Click-Through Rate Prediction

PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection

Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation

Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks

Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network

DAPPLE: A Pipelined Data Parallel Approach for Training Large Models

The Road to 6G: Ten Physical Layer Challenges for Communications Engineers

German's Next Language Model

Distributed Quantum Computing: a Survey

Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

MobileOne: An Improved One millisecond Mobile Backbone

Automatic tagging using deep convolutional neural networks

RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation

Multimodal Speech Emotion Recognition Using Audio and Text

SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules

Virtual to Real Reinforcement Learning for Autonomous Driving

Atlas: End-to-End 3D Scene Reconstruction from Posed Images

AutoFormer: Searching Transformers for Visual Recognition

Pushing the Boundaries of View Extrapolation with Multiplane Images

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks

A review of feature extraction and performance evaluation in epileptic seizure detection using EEG

Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

Better Mixing via Deep Representations

Safe Reinforcement Learning Using Robust MPC

Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables